CN104966131A - Flat-landform blower fan optimization arrangement method for a region with remarkable monsoon climate - Google Patents

Flat-landform blower fan optimization arrangement method for a region with remarkable monsoon climate Download PDF

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CN104966131A
CN104966131A CN201510323668.4A CN201510323668A CN104966131A CN 104966131 A CN104966131 A CN 104966131A CN 201510323668 A CN201510323668 A CN 201510323668A CN 104966131 A CN104966131 A CN 104966131A
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wind
blower fan
arrangement
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wind power
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CN104966131B (en
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韩晓亮
彭怀午
赵春刚
苏婧
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Inner Mongolia Electric Power Survey and Design Institute Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention proposes a flat-landform blower fan optimization arrangement method for a region with the remarkable monsoon climate, and belongs to the technical field of blower fan optimization arrangement. The method comprises the steps: obtaining raw data of a wind power plant; obtaining the range of the wind power plant according to the obtained geographic information; determining the number of columns of wind generating sets according to the range of the wind power plant; determining three influence factors (an arrangement angle alpha, a deviation separation distance ratio I, and a longitudinal separation distance ratio j) of flat-landform blower fan optimization arrangement in the region with the remarkable monsoon climate, and determining the reasonable value ranges of the influence factors; carrying out related statistics and analysis according to the obtained results of an orthogonal experiment; and determining the optimal values of the influence factors, so as to obtain the optimal arrangement scheme of the wind generating sets of the wind power plant. The method solves a technical problem that how to obtain a blower fan arrangement scheme suitable for the region with the remarkable monsoon climate through the extraction of more complete main factors affecting the arrangement of the wind generating sets.

Description

The subdued topography blower fan optimization placement method in the obvious region of monsoon climate
Technical field
The present invention relates to blower fan preferred arrangement technical field, particularly relate to the subdued topography blower fan optimization placement method in the obvious region of a kind of monsoon climate.
Background technology
Wind power generating set (be called for short " blower fan ") preferred arrangement refers to and makes the layout of wind power generating set more reasonable by specific optimized algorithm, makes the comprehensive benefit of whole wind energy turbine set more excellent.For the obvious region of monsoon climate, the major influence factors of the preferred arrangement of subdued topography wind power generating set is the mutual wake effect of wind power generating set, caused by the relative position of this impact mainly residing for each wind power generating set.The optimal location of wind power generating set both can be realized by enumeration method, namely calculated the possibility of various combination; Also can be realized by the experimental technique under suitable artificial antecedent intervention, the method namely combined with engineering experiment method by mathematical statistics analysis realizes.A kind of front method is in theory comparatively simple, but the long-time computing of computer can only realize under based on methods such as genetic algorithm, neuron algorithms; A kind of rear method needs mathematical statistics analysis and engineering experiment method to be applied in optimization, can save plenty of time cost.The present inventor once on June 30th, 2011 applied for that application number is 201110180419.6, name is called the Chinese invention patent of " method for optimized arrangement of wind turbine generator systems on flat terrain " and authorized, the application is the substantial improvement carried out this patent, this improvement is mainly reflected in: this patent, further according to the climate characteristic in the obvious region of China's monsoon climate, has carried out substantial change to parameter used in optimization.Find through deep research: in the obvious region of monsoon climate, because cardinal wind is often concentrated especially, as region, China Inner Mongol, leading wind energy often concentrate on northwest to, the wind energy distribution in other directions is special few, so for the region of such monsoon sex climate, (it will be appreciated by those skilled in the art that perpendicular to cardinal wind, here vertically referring to of saying is generallyperpendicular, such as cardinal wind is north wind, the blower fan of thing arrangement is just perpendicular to cardinal wind substantially) the change of aerogenerator group distance limited especially on the impact of the generated energy of wind power generating set, and concentrating due to cardinal wind wind energy, influencing each other of front and rear row wind power generating set is just special large, just be necessary to avoid the impact with each other of wind power generating set as the problem mainly solved for such climate characteristic region.The present invention and first of existing patent main difference are exactly the distance of wind power generating set on vertical cardinal wind, orientation is no longer optimized, and change selected fixing value into; Second main difference be exactly according to the research for monsoon sex climate wind regime enhance for wind power generating set with each other affect optimization, have employed two main parameters, one shows in the distance that wind power generating set is mutual, one shows in the orientation that wind power generating set is mutual, reduces the mutual impact of wind power generating set with the optimization of these two parameters.By targeted like this, the proposition of the new argument of essence, will significantly reduce the mutual impact of wind power generating set, the layout of wind energy turbine set wind power generating set is optimized more, and generated energy is higher.
In addition, orthogonal is the fraction principle according to factor design, adopts the orthogonal arrage of being derived by combinatorial theory to arrange design experiment, and result is carried out to the multifactor experiment method of statistical study design.In multifactor experiment, when the factor and horizontal number increase, if carry out comprehensive test, all will process and arrange in single test, test process number and test unit number will sharp increases, arrange all process very difficult in single test.Comprehensive test as 13 factor 3 levels will reach 1594323 times.In order to solve multiple-factor, to implement in full test number (TN) too much, the unmanageable problem of condition, be necessary to select that the representative very strong processed group of part is incompatible does experiment, these representative part process are combined, generally determine by orthogonal arrage, and these process the orthogonal points of normally linear space.After Finney in 1945 proposes fraction design, many scholars concentrate on studies, propose the orthogonal arrage for fraction design, the later stage forties 20th century, day Honda mouth profound one is applied to Orthogonal Method in the telephone set test of Japan first, subsequently in Japanese all trades and professions widespread use, obtain plentiful and substantial economic benefit.Orthogonal is popularized use in China and is started from late 1960s, and the seventies reaches a climax, and progressively launches application in all trades and professions.Orthogonal, owing to can test with a small amount of, extracts key message, and simple, has become the optimized Main way of China's multiple-factor.
Summary of the invention
The technical problem to be solved in the present invention, be exactly in the obvious region of monsoon sex climate, for the problem of the wind power generating set preferred arrangement of subdued topography, namely how realize searching out fast a kind of relative position relation of rational wind power generating set by extracting the principal element more fully affect wind power generating set layout.
For this reason, the present invention proposes the method for optimized arrangement of wind turbine generator systems on flat terrain in the obvious region of a kind of monsoon climate, comprises step S1, obtains the source book of wind energy turbine set, comprises geography information and wind-resources information; First according to the scope of described geography information determination wind energy turbine set and the number of permutations of the scope determination wind power generating set according to wind energy turbine set, with make the wind power generating set number in the scope of wind energy turbine set more than or equal the number that needs; Local wind-resources information is obtained, to calculate the generated energy of wind energy turbine set according to described geography information; Step S2, determines to affect three influence factors of subdued topography blower fan preferred arrangement in the obvious region of monsoon climate and the reasonable value scope of described influence factor, and described influence factor comprises arrangement angles α, skew gap ratio i and longitudinal pitch and compares j; Step S3, the influence factor determined according to step S2 and described reasonable value scope build orthogonal experiment engineering and calculate corresponding generated energy, the multiple values specifically comprised according to getting within the scope of its reasonable value for each influence factor build orthogonal design table, and calculate the electricity corresponding to each orthogonal experiment entry; Step S4, carries out correlation statistical analysis to the Orthogonal experiment results that step S3 draws, determines the best value of described influence factor; Step S5, according to the best value of the influence factor determined in step 4, draws optimum wind energy turbine set wind power generating set arrangement.
According to an aspect of the present invention, in described step S1, determine the many exhaust blowers be arranged in order along cardinal wind, be respectively the 1st exhaust blower, the 2nd exhaust blower ..., m exhaust blower, and every multiple stage blower fan included by exhaust blower, and determine the spacing in every exhaust blower between adjacent two Fans.
According to an aspect of the present invention, described arrangement angles α is that every face, exhaust blower place and blower fan arrange the perpendicular line in face and the angle of cardinal wind, described arrangement angles when described perpendicular line is counterclockwise relative to cardinal wind on the occasion of, for arrangement angles described time clockwise is negative value; The ratio of described skew gap ratio i to be even rows blower fan row face relative to the distance of last row's odd number exhaust blower row face skew account in described even rows two adjacent wind power generating set spacing, when even rows blower fan row face relative to odd number exhaust blower row towards counterclockwise skew hour offset gap ratio i be on the occasion of, to being negative value during clockwise; Described longitudinal pitch is that wind energy turbine set arranges the ratio of interplanar distances along two blower fans that cardinal wind is adjacent than j.
According to an aspect of the present invention, step S2 also comprises, and determines arrangement angles α, skew gap ratio i and the longitudinal pitch reasonable value scope than j, and get multiple value for each factor within the scope of reasonable value.
According to an aspect of the present invention, the span of arrangement angles α is-45 ° ~ 45 °; The span of skew gap ratio i is-1.0 ~ 1.0; Longitudinal pitch is 0.5 ~ 2.0 than the span of j; The scope that wherein symbol " ~ " represents contains end value.
According to an aspect of the present invention, step S4 comprises: intuitive analysis, than j, intuitive analysis is carried out to arrangement angles α, skew gap ratio i and longitudinal pitch for the generated energy result drawn, draw the influence degree corresponding to each influence factor different value respectively, draw the combination for single optimum influence factor accordingly; Interaction analysis, analyzes respectively between two than j arrangement angles α, skew gap ratio i and longitudinal pitch according to the generated energy drawn, draws corresponding influence degree, and compare with the result that intuitive analysis goes out; Variance analysis, draws the influence degree of each combined factors.
According to an aspect of the present invention, described arrangement angles α, skew gap ratio i and longitudinal pitch are unified value than j for whole wind energy turbine set.
According to an aspect of the present invention, described arrangement angles α, skew gap ratio i and longitudinal pitch are not unified value than j for whole wind energy turbine set, namely for every exhaust blower, there is corresponding arrangement angles α, for each even rows blower fan, there is corresponding skew gap ratio i, for spacing between adjacent blower fan row face, there is corresponding longitudinal pitch and compare j.
As can be seen here, this programme is by using quadrature analysis to distinctive parameter, propose a kind of method for optimized arrangement of wind turbine generator systems on flat terrain being specially adapted to the obvious region of monsoon climate, and the wind power generating set arrangement generated energy after being optimized by method of the present invention is higher, wake flow is less, the mutual impact of wind power generating set is less, and the load that wind power generating set is born is less, and operation life is longer.
Accompanying drawing explanation
Fig. 1 shows the process flow diagram of the obvious flatwise landform of monsoon climate according to an embodiment of the invention blower fan optimization placement method key step;
Fig. 2 shows an exemplary plot of the subdued topography blower fan arrangement in the obvious region of monsoon climate;
Fig. 3 shows the exemplary plot of orthogonal design table.
Embodiment
Fig. 1 shows the general flowchart of method proposed by the invention.
As shown in Figure 1, method proposed by the invention comprises:
Step S1: the source book obtaining wind energy turbine set, comprise geography information and wind-resources information, first according to the scope of described geography information determination wind energy turbine set and the number of permutations of the scope determination wind power generating set according to wind energy turbine set, with make the wind power generating set number in the scope of wind energy turbine set more than or equal the number that needs; Local wind-resources information is obtained, to calculate the generated energy of wind energy turbine set according to described geography information;
Step S2, determines to affect the influence factor of subdued topography blower fan preferred arrangement and the reasonable value scope of described influence factor in the obvious region of monsoon climate; For monsoon climate obviously this feature, the present invention determines three influence factors and reasonable value scope thereof, the level value be namely applicable to, and this will hereafter describe in detail;
Step S3, the influence factor selected according to step 2 and its reasonable value scope, use the method for orthogonal experiment, builds orthogonal experiment engineering and utilize professional software to carry out generated energy to calculate to obtain Orthogonal experiment results; Concrete, the multiple values according to getting within the scope of its reasonable value for each influence factor build orthogonal design table, and calculate the electricity corresponding to each orthogonal experiment entry;
Step S4, carries out correlation statistical analysis to the Orthogonal experiment results that step 3 draws, determines the best value of each influence factor;
Step S5, the best value of comprehensive described each influence factor, draws optimum wind turbine layout scheme.
Below, with reference to figure 2, above-mentioned steps is made and introduces more specifically.
Fig. 2 shows an example of wind energy turbine set and wind power generating set arrangement.
In step sl, first geographic position and the topomap of wind energy turbine set is obtained, then according to wind energy turbine set scope (ABCD as in Fig. 2), it is DZ (AB, CD direction namely in Fig. 2) along cardinal wind length, vertical cardinal wind length is LZ (BC, DA namely in Fig. 2), the wind power generating set number within the scope of wind energy turbine set (i.e. ranks joint) should be made to be slightly more than or equal need number.That is, the many exhaust blowers be arranged in order along cardinal wind can be obtained from step S1, be respectively the 1st exhaust blower, the 2nd exhaust blower ..., m exhaust blower, every exhaust blower comprises multiple stage blower fan.
As shown in Figure 2, described dominant direction is such as north wind, described wind energy turbine set can obtain six exhaust blowers after step S1, be respectively the first to the 6th exhaust blower, in six exhaust blowers shown in Fig. 2, the face at each exhaust blower place is all vertical with cardinal wind, certainly, after the optimization obtained after optimization placement method hereinafter described, arrangement might not be vertical with cardinal wind, here only exemplarily, namely be only that benchmark arranges a certain amount of blower fan within the scope of wind energy turbine set substantially with cardinal wind in step S1, with the number making blower fan number be more than or equal to needs.
Then, the selected multiple factors affecting wind power generating set and arrange in step s 2, in the specific embodiment of the present invention, in order to be adapted to the obvious region of specific monsoon climate, propose and affect three key factors that in this region, subdued topography wind power generating set is arranged, be respectively arrangement angles α, skew gap ratio i, longitudinal pitch compares j.Below, specific descriptions are made to these three factors and reasonable value scope thereof.
Arrangement angles α: the perpendicular line in every face, exhaust blower place (being called for short blower fan row face) and the angle of cardinal wind, in the present embodiment, whole wind energy turbine set is set as same value, certainly also can get different values for each row.Take full weight and be combined into starting point (such as shown in Fig. 2, dot-and-dash line and the cardinal wind of expression perpendicular line are same direction), be defined as 0 °, angle when described perpendicular line is counterclockwise relative to cardinal wind be defined as on the occasion of, angle time clockwise is defined as negative value.Fig. 2 gives example, as shown in Figure 2, other two kinds different cardinal winds (tilting upward and downward arrow) have angle with this perpendicular line respectively, wherein for the arrow tilted upward, described perpendicular line rotates clockwise relative to cardinal wind, at this moment angle α is negative value, for α the arrow under being tilted to on the occasion of.
Skew gap ratio i: even rows blower fan row face to account in described even rows the ratio of two adjacent wind power generating set spacing relative to the distance of last row's odd number exhaust blower row face skew.Wherein, there is not skew namely as benchmark in odd number exhaust blower row face (such as a row), and adjacent even rows blower fan row face (such as a+1 row) offsets relative to a exhaust blower row face.When not offseting, described skew gap ratio i is 0, and when even rows blower fan row face relative to odd number exhaust blower row towards counterclockwise skew hour offset gap ratio i be on the occasion of, to being negative value during clockwise.In one embodiment, in same row, all adjacent wind power generating set are all equidistant arrangement, the spacing (L1-L5) of the first row blower fan namely shown in Fig. 2 is equal, certainly, even rows inner blower spacing is also equal, this is because mention in the introduction, in the obvious region of monsoon climate, blower fan spacing perpendicular to wind direction can be set to fixed value, because it is limited on the impact of generated energy, can not do further optimization.Such as, as shown in Figure 2, second row blower fan row face relative to the row of first row blower fan face down (along pointer) offset by distance Lp, so described skew gap ratio i=-Lp/Lj.According to an embodiment, the direction of each even rows blower fan row face skew is consistent.Certainly, for the blower fan row face of each even rows, they all can be different relative to the skew gap ratio in the odd number exhaust blower row face of a row above, and this skew spacing not only depending on both, also depends on the blower fan arranging distance of this even rows blower fan self.Use this parameter, consider even rows relative to spacing between the deviation post at front row and blower fan simultaneously, can make the determined blower fan arrangement of step 1 very neatly and optimizing further, and found through experiments, the selection of this parameter can bring unforeseeable technique effect, and the optimum wind turbine layout obtained with this parameter can obtain generated energy very efficiently.
Longitudinal pitch is than j: wind energy turbine set arranges the ratio of interplanar distances along two blower fans that cardinal wind is adjacent.I.e. j=D c+1/ D c, wherein c=1 ~ m-2, m are the maximum name number in row face, namely arrange the sum in face, D cit is the spacing that c arranges between face and c+1 row face.
Spacing L between same row of wind genset: refer to the distance between two aerogenerator group switching centres in same row, the quantity that its value should meet wind power generating set in same row subtracts one to be less than the vertical cardinal wind of wind energy turbine set length value with the product of spacing.
Get 3 level values respectively for each factor, the span of described level value is:
The span of α is-45 ° ~ 45 °;
I span is-1.0 ~ 1.0;
J span is 0.5 ~ 2.0.
The scope that in the present invention, symbol " ~ " represents contains end value.
Perform step S3 below, according to selected three influence factors of step 2 (arrangement angles α, skew gap ratio i and longitudinal pitch than j) and reasonable value scope build orthogonal experiment engineering calculation and go out corresponding electricity, namely orthogonal design table is built according to multiple values of getting for each factor, and calculate the generated energy corresponding with each entry of this table, obtain Orthogonal experiment results.Such as, as shown in Figure 3, last is classified as the generated energy corresponding with each entry of this table calculated to the orthogonal design table constructed.Fig. 3 simply show an example, wherein α, i and j are the same for whole wind energy turbine set, but in other embodiments, for α, i and j, different values can be set for difference row, listed orthogonal design table is more complicated relative to Fig. 3, only in order to illustrate and succinct object, uses the reduced graph of Fig. 3 to be introduced.
Next, perform step S4, carry out data analysis to the Orthogonal experiment results that step 3 obtains, determine the best value of three influence factors, this analytic process is general orthogonal experiment data analysis process, comprises three aspects altogether:
1: intuitive analysis
For the generated energy drawn to arrangement angles α, skew gap ratio i, longitudinal pitch carries out intuitive analysis than these 3 factors of j, draws the influence degree corresponding to each factor varying level respectively, can draw the combination for single optimum factor accordingly.
2: interaction analysis
Interaction analysis is exactly the effect of the combination in order to analyze two factors, because the level that may have single factor is not optimum, but the combination of two of two factors levels can better effects if.According to the generated energy drawn to arrangement angles α, skew gap ratio i, longitudinal pitch is analyzed between two respectively than these 3 factors of j, draws its influence degree, and compares with the result that intuitive analysis goes out.
3: variance analysis
Because each factor has impact for result, according to above analysis result, the priority impact order corresponding to the varying level of one or two factor can only be drawn, then can draw each factor level combined influence degree by variance analysis.
Finally, perform step S5, the best value of comprehensive each influence factor, draws the optimum layout scheme.The horizontal combination (α, i, j) of the most significant each factor of calculating impact that comprehensive said process then can be determined for generated energy is exactly the net result optimized.
This programme proposes the evaluation points with material alterations for the climate characteristic in the obvious region of monsoon, find through experiment, wind power generating set arrangement generated energy after being optimized by method of the present invention is higher, wake flow is less, the mutual impact of wind power generating set is less, the load that wind power generating set is born is less, and operation life is longer.
Proposed above-mentioned specific implementation is only exemplary, not as limiting the scope of the present invention.Those skilled in the art can make corresponding adjustment and change to above-mentioned implementation as the case may be, and these adjustment and change also fall within the scope of protection of the present invention.

Claims (8)

1. the method for optimized arrangement of wind turbine generator systems on flat terrain in the obvious region of monsoon climate, it is characterized in that, the method comprises:
Step S1, obtains the source book of wind energy turbine set, comprises geography information and wind-resources information; First according to the scope of described geography information determination wind energy turbine set and the number of permutations of the scope determination wind power generating set according to wind energy turbine set, with make the wind power generating set number in the scope of wind energy turbine set more than or equal the number that needs; Local wind-resources information is obtained, to calculate the generated energy of wind energy turbine set according to described geography information;
Step S2, determines to affect three influence factors of subdued topography blower fan preferred arrangement in the obvious region of monsoon climate and the reasonable value scope of described influence factor, and described influence factor comprises arrangement angles α, skew gap ratio i and longitudinal pitch and compares j;
Step S3, the influence factor determined according to step S2 and described reasonable value scope build orthogonal experiment engineering and calculate corresponding generated energy, the multiple values specifically comprised according to getting within the scope of its reasonable value for each influence factor build orthogonal design table, and calculate the electricity corresponding to each orthogonal experiment entry;
Step S4, carries out correlation statistical analysis to the Orthogonal experiment results that step S3 draws, determines the best value of described influence factor;
Step S5, according to the best value of the influence factor determined in step 4, draws optimum wind energy turbine set wind power generating set arrangement.
2. method according to claim 1, is characterized in that:
In described step S1, determine the many exhaust blowers be arranged in order along cardinal wind, be respectively the 1st exhaust blower, the 2nd exhaust blower ..., m exhaust blower, and every multiple stage blower fan included by exhaust blower, and determine the spacing in every exhaust blower between adjacent two Fans.
3. method according to claim 1, is characterized in that:
Described arrangement angles α is every face, exhaust blower place and blower fan the row perpendicular line in face and the angle of cardinal wind, the described arrangement angles when described perpendicular line is counterclockwise relative to cardinal wind be on the occasion of, for arrangement angles described time clockwise is negative value;
The ratio of described skew gap ratio i to be even rows blower fan row face relative to the distance of last row's odd number exhaust blower row face skew account in described even rows two adjacent wind power generating set spacing, when even rows blower fan row face relative to odd number exhaust blower row towards counterclockwise skew hour offset gap ratio i be on the occasion of, to being negative value during clockwise;
Described longitudinal pitch is that wind energy turbine set arranges the ratio of interplanar distances along two blower fans that cardinal wind is adjacent than j.
4. method according to claim 3, is characterized in that, wherein:
Step S2 also comprises, and determines arrangement angles α, skew gap ratio i and the longitudinal pitch reasonable value scope than j, and get multiple value for each factor within the scope of reasonable value.
5. method according to claim 4, is characterized in that:
The span of arrangement angles α is-45 ° ~ 45 °;
The span of skew gap ratio i is-1.0 ~ 1.0;
Longitudinal pitch is 0.5 ~ 2.0 than the span of j;
The scope that wherein symbol " ~ " represents contains end value.
6. method according to claim 1, is characterized in that:
Step S4 comprises:
Intuitive analysis, carries out intuitive analysis to arrangement angles α, skew gap ratio i and longitudinal pitch than j for the generated energy result drawn, draws the influence degree corresponding to each influence factor different value respectively, draw the combination for single optimum influence factor accordingly;
Interaction analysis, analyzes respectively between two than j arrangement angles α, skew gap ratio i and longitudinal pitch according to the generated energy drawn, draws corresponding influence degree, and compare with the result that intuitive analysis goes out;
Variance analysis, draws the influence degree of each combined factors.
7. according to the method in claim 2 or 3, it is characterized in that:
Described arrangement angles α, skew gap ratio i and longitudinal pitch are unified value than j for whole wind energy turbine set.
8. according to the method in claim 2 or 3, it is characterized in that:
Described arrangement angles α, skew gap ratio i and longitudinal pitch are not unified value than j for whole wind energy turbine set, namely for every exhaust blower, there is corresponding arrangement angles α, for each even rows blower fan, there is corresponding skew gap ratio i, for spacing between adjacent blower fan row face, there is corresponding longitudinal pitch and compare j.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105760951A (en) * 2016-02-04 2016-07-13 内蒙古电力勘测设计院有限责任公司 Blower array optimization method
CN113589167A (en) * 2021-07-20 2021-11-02 华北电力科学研究院有限责任公司 Orthogonal test evaluation method and device for wind turbine generator

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289538A (en) * 2011-06-30 2011-12-21 内蒙古电力勘测设计院 Method for optimized arrangement of wind turbine generator systems on flat terrain
CN103235850A (en) * 2013-04-18 2013-08-07 内蒙古电力勘测设计院 System and method for comparing wind power plant design level
CN103236741A (en) * 2013-04-18 2013-08-07 内蒙古电力勘测设计院 System and method for comparing advantages and disadvantages in wind turbine arrangement
CN104077435A (en) * 2014-06-20 2014-10-01 内蒙古电力勘测设计院有限责任公司 Wind farm design and optimization method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289538A (en) * 2011-06-30 2011-12-21 内蒙古电力勘测设计院 Method for optimized arrangement of wind turbine generator systems on flat terrain
CN103235850A (en) * 2013-04-18 2013-08-07 内蒙古电力勘测设计院 System and method for comparing wind power plant design level
CN103236741A (en) * 2013-04-18 2013-08-07 内蒙古电力勘测设计院 System and method for comparing advantages and disadvantages in wind turbine arrangement
CN104077435A (en) * 2014-06-20 2014-10-01 内蒙古电力勘测设计院有限责任公司 Wind farm design and optimization method and system

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CN105760951A (en) * 2016-02-04 2016-07-13 内蒙古电力勘测设计院有限责任公司 Blower array optimization method
CN105760951B (en) * 2016-02-04 2019-10-18 内蒙古电力勘测设计院有限责任公司 A kind of wind machine array optimization method
CN113589167A (en) * 2021-07-20 2021-11-02 华北电力科学研究院有限责任公司 Orthogonal test evaluation method and device for wind turbine generator
CN113589167B (en) * 2021-07-20 2024-01-23 华北电力科学研究院有限责任公司 Orthogonal test evaluation method and device for wind turbine generator

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